@inproceedings{58b82dd7ff0c4798b6fb45e820059503,
title = "UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies",
abstract = "The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full story. Grammatical constructions that convey meaning through a particular combination of several morphosyntactic elements-for example, interrogative sentences with special markers and/or word orders-are not labeled holistically. We argue for (i) augmenting UD annotations with a “UCxn” annotation layer for such meaning-bearing grammatical constructions, and (ii) approaching this in a typologically informed way so that morphosyntactic strategies can be compared across languages. As a case study, we consider five construction families in ten languages, identifying instances of each construction in UD treebanks through the use of morphosyntactic patterns. In addition to findings regarding these particular constructions, our study yields important insights on methodology for describing and identifying constructions in language-general and language-particular ways, and lays the foundation for future constructional enrichment of UD treebanks.",
keywords = "corpus annotation, grammatical constructions, treebanks, typology, Universal Dependencies",
author = "Leonie Weissweiler and Nina B{\"o}bel and Kirian Guiller and Santiago Herrera and Wesley Scivetti and Arthur Lorenzi and Nurit Melnik and Archna Bhatia and Hinrich Sch{\"u}tze and Lori Levin and Amir Zeldes and Joakim Nivre and William Croft and Nathan Schneider",
note = "Publisher Copyright: {\textcopyright} 2024 ELRA Language Resource Association: CC BY-NC 4.0.; Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 ; Conference date: 20-05-2024 Through 25-05-2024",
year = "2024",
language = "الإنجليزيّة",
series = "2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings",
pages = "16919--16932",
editor = "Nicoletta Calzolari and Min-Yen Kan and Veronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue",
booktitle = "2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings",
}